Explore a comprehensive 10-minute tutorial on deploying and integrating generative AI models using NVIDIA NIM. Learn how to access and implement cutting-edge AI models through NVIDIA's API, optimized for efficient deployment in both vision and text applications. Discover the process of integrating Cosmos 2 for vision tasks and LLaMA 370B for text analysis, creating a user interface for object identification and image analysis, and receive detailed coding instructions for seamless AI model integration into your projects. Gain insights into the NVIDIA NIM platform, explore the model catalog, and master the creation of a chat interface using Chainlit.
NVIDIA NIM: Deploying and Integrating Generative AI Models in Applications
Overview
Syllabus
- Introduction to Nvidia NIM
- Demo: User Interface for Image Analysis
- Vision and Text Model Integration
- Exploring the Model Catalog
- Integrating LLaMA 3 70B in Python
- Implementing Image Analysis with Kosmos 2
- Creating a Chat Interface with Chainlit
Taught by
Mervin Praison
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